Knowledge Sharing in Security-Sensitive Communities

Collective intelligence inherently relies on knowledge sharing. In security-sensitive organizations, tension arises between the need to develop collective knowledge and organizational culture, which requires secrecy. Drawing on the effects of trust on social behavior, this study examines knowledge-sharing in security-sensitive organizations compared to non-sensitive organizations dealing with the same subject matter. Methodology—We use Social Network Analysis (SNA) to analyze data from 18 communities: 7 security-sensitive and 9 non-sensitive. This comparative analysis explores the impact of organizational culture on communication structures and knowledge-sharing patterns. Findings—(1) The communication structure of security-sensitive communities differs from the structure of non-sensitive communities; (2) Security-sensitive communities have a higher density than non-sensitive communities. (3) When two security-sensitive organizations join together, knowledge sharing decreases. (4) Characteristics of the organizational culture of security-sensitive communities affect their network structure, which in turn affects knowledge sharing. This study provides valuable insights into the complex relationship between organizational culture, trust, and knowledge sharing in security-sensitive contexts. It highlights how secrecy and trust dynamics shape communication patterns and collective intelligence, contributing to a deeper understanding of knowledge-sharing practices in environments where security concerns are paramount. The findings are particularly relevant for improving knowledge-sharing strategies in both security-sensitive and non-sensitive organizations.

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Publication Details

Journal
Future Internet
Published
2025-03-26
DOI
https://doi.org/10.3390/fi17040144
Citations
1
Primary Topic
Knowledge Management and Sharing
Type
article
Field-Weighted Citation Impact
3.86
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article

Knowledge Sharing in Security-Sensitive Communities

David Siman-Tov, Daphne R. Raban, Gilad Ravid, Yonit Rusho
1 citations
Future Internet
Knowledge Management and Sharing
3.86
article

Knowledge Sharing in Security-Sensitive Communities

David Siman-Tov, Daphne R. Raban, Gilad Ravid, Yonit Rusho
article en
1 citations

Abstract

Collective intelligence inherently relies on knowledge sharing. In security-sensitive organizations, tension arises between the need to develop collective knowledge and organizational culture, which requires secrecy. Drawing on the effects of trust on social behavior, this study examines knowledge-sharing in security-sensitive organizations compared to non-sensitive organizations dealing with the same subject matter. Methodology—We use Social Network Analysis (SNA) to analyze data from 18 communities: 7 security-sensitive and 9 non-sensitive. This comparative analysis explores the impact of organizational culture on communication structures and knowledge-sharing patterns. Findings—(1) The communication structure of security-sensitive communities differs from the structure of non-sensitive communities; (2) Security-sensitive communities have a higher density than non-sensitive communities. (3) When two security-sensitive organizations join together, knowledge sharing decreases. (4) Characteristics of the organizational culture of security-sensitive communities affect their network structure, which in turn affects knowledge sharing. This study provides valuable insights into the complex relationship between organizational culture, trust, and knowledge sharing in security-sensitive contexts. It highlights how secrecy and trust dynamics shape communication patterns and collective intelligence, contributing to a deeper understanding of knowledge-sharing practices in environments where security concerns are paramount. The findings are particularly relevant for improving knowledge-sharing strategies in both security-sensitive and non-sensitive organizations.

Future InternetVol. 17(4)
Ben-Gurion University of the Negev (IL), IMI TAMI Institute for Research and Development (IL), Lev Hasharon Hospital (IL), University of Haifa (IL)
Openalex Percentile: Top 10%
Knowledge Management and Sharing
3.86
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Knowledge Sharing in Security-Sensitive Communities — David Siman-Tov, Daphne R. Raban, et al. · Future Internet (2025) | TGRS Research Map | TGRS